from beartype import beartype
from UQpy.sampling.adaptive_kriging_functions.baseclass.LearningFunction import (
LearningFunction,
)
[docs]class UFunction(LearningFunction):
@beartype
def __init__(self, u_stop: int = 2):
"""
U-function for reliability analysis. See :cite:`AKMCS1` for a detailed explanation.
:param u_stop: U-Function stopping parameter
"""
self.u_stop = u_stop
def evaluate_function(self, distributions, n_add, surrogate, population, qoi=None, samples=None):
g, sig = surrogate.predict(population, True)
# Remove the inconsistency in the shape of 'g' and 'sig' array
g = g.reshape([population.shape[0], 1])
sig = sig.reshape([population.shape[0], 1])
u = abs(g) / sig
rows = u[:, 0].argsort()[:n_add]
stopping_criteria_indicator = min(u[:, 0]) >= self.u_stop
new_samples = population[rows, :]
learning_function_values = u[rows, 0]
return new_samples, learning_function_values, stopping_criteria_indicator